SaaS @ Scale with Kubernetes


6th August 2020
Speaker Date: 6th August 2020
Speaker Time: IST: 15:00-15:30
Attendee Date: 6th August 2020
Attendee Time: IST: 15:00-15:30 | SGT: 17:30-18:00 | AEST: 19:30-20:00
Duration: 25 mins
Raghuraman Balachandran
Staff Engineer, Freshworks

In this talk, we will start by describing the three major challenges faced by the Machine Learning team at Freshworks. This includes a) Multi-tenancy, b) Interpretability, and c) Multi-lingual ML models. Every ML feature or capability that we provide gets consumed by tens of thousands of our business customers, and in-turn by their end-users. We, therefore, design our ML systems to scale for millions of end-users, and every ML feature is managed like a portfolio. Our business customers span several diverse industries including Finance, retail, healthcare, real estate, and education; and their end-users speak various languages.

By attending this talk, you will understand value proposition that we have enabled for these businesses by leveraging AI to optimize their sales processes, revenue and customer LTVs. Our hope is you will be able to take these learnings back to using it at your work.

You may also be interested in

3rd, September

Time
Local Variable Type Inference: Friend or Foe?

Local variable type inference was introduced as a new Java language feature in Java SE 10. Gone are the days...

3rd, September

Time
Under the Hood of Java Synchronization

What do you know about Java synchronization? Enough to be dangerous? It's said the more you know the better. In...

3rd, September

Time
Java Functional Programming Idioms

A number of developers and organizations are beginning to make use of Functional Programming in Java. With anything that's new,...

3rd, September

Time
Java and the Semantic Web

Java has always been one of the languages and runtimes with the best support for Semantic Web standards. There have...

3rd, September

Time
What a Character

We will cover the concepts of representing scripts from different languages, and an introduction to Unicode. We will delve into...

3rd, September

Time
Agile Engineering: The Hard Parts

While teams can pick up the easy parts of agile from books and conferences, some of the engineering practices still...